AdaBoost (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "AdaBoost" in English language version.

refsWebsite

Global rank English rank

207^th place

136^th place

2^nd place

2^nd place

5^th place

5^th place

low place

low place

69^th place

59^th place

1codesachin.wordpress.com

low place

low place

3,329^th place

4,598^th place

26^th place

20^th place

9,033^rd place

6,971^st place

179^th place

183^rd place

arxiv.org

Kégl, Balázs (20 December 2013). "The return of AdaBoost.MH: multi-class Hamming trees". arXiv:1312.6086 [cs.LG].

codesachin.wordpress.com

Joglekar, Sachin. "adaboost – Sachin Joglekar's blog". codesachin.wordpress.com. Retrieved 3 August 2016.

doi.org

doi.org

Freund, Yoav; Schapire, Robert E. (1995), A desicion-theoretic [sic] generalization of on-line learning and an application to boosting, Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 23–37, doi:10.1007/3-540-59119-2_166, ISBN 978-3-540-59119-1, retrieved 2022-06-24
Hastie, Trevor; Rosset, Saharon; Zhu, Ji; Zou, Hui (2009). "Multi-class AdaBoost". Statistics and Its Interface. 2 (3): 349–360. doi:10.4310/sii.2009.v2.n3.a8. ISSN 1938-7989.
Zhang, T. (2004). "Statistical behavior and consistency of classification methods based on convex risk minimization". Annals of Statistics. 32 (1): 56–85. doi:10.1214/aos/1079120130. JSTOR 3448494.

dx.doi.org

Freund, Yoav; Schapire, Robert E. (1995), A desicion-theoretic [sic] generalization of on-line learning and an application to boosting, Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 23–37, doi:10.1007/3-540-59119-2_166, ISBN 978-3-540-59119-1, retrieved 2022-06-24

fu-berlin.de

inf.fu-berlin.de

Rojas, Raúl (2009). "AdaBoost and the super bowl of classifiers a tutorial introduction to adaptive boosting" (Tech. Rep.). Freie University, Berlin.

jmlr.org

Wyner, Abraham J.; Olson, Matthew; Bleich, Justin; Mease, David (2017). "Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers". Journal of Machine Learning Research. 18 (48): 1–33. Retrieved 17 March 2022.

jstor.org

Zhang, T. (2004). "Statistical behavior and consistency of classification methods based on convex risk minimization". Annals of Statistics. 32 (1): 56–85. doi:10.1214/aos/1079120130. JSTOR 3448494.

psu.edu

citeseerx.ist.psu.edu

Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert (1998). "Additive Logistic Regression: A Statistical View of Boosting". Annals of Statistics. 28: 2000. CiteSeerX 10.1.1.51.9525.
Schapire, Robert; Singer, Yoram (1999). "Improved Boosting Algorithms Using Confidence-rated Predictions": 80–91. CiteSeerX 10.1.1.33.4002. {{cite journal}}: Cite journal requires |journal= (help)
Viola, Paul; Jones, Robert (2001). "Rapid Object Detection Using a Boosted Cascade of Simple Features". CiteSeerX 10.1.1.10.6807. {{cite journal}}: Cite journal requires |journal= (help)
Margineantu, Dragos; Dietterich, Thomas (1997). "Pruning Adaptive Boosting". CiteSeerX 10.1.1.38.7017. {{cite journal}}: Cite journal requires |journal= (help)

stanford.edu

statweb.stanford.edu

Trevor Hastie; Robert Tibshirani; Jerome Friedman (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed.). New York: Springer. ISBN 978-0-387-84858-7.

uottawa.ca

site.uottawa.ca

Freund; Schapire (1999). "A Short Introduction to Boosting" (PDF):

worldcat.org

search.worldcat.org

Hastie, Trevor; Rosset, Saharon; Zhu, Ji; Zou, Hui (2009). "Multi-class AdaBoost". Statistics and Its Interface. 2 (3): 349–360. doi:10.4310/sii.2009.v2.n3.a8. ISSN 1938-7989.